Plant BiologybioRxivPreprint
MGIDI selection and machine learning reveal harvest index driving traits in sodium azide-induced rice mutants with SSR-based genetic diversity
Mamun Abdullah Al, Md. Rezve, Md. Borhan Ali Sorker…·Md. Monirul Islam
This study uses MGIDI selection and machine learning to identify elite rice mutants with high harvest index traits from sodium azide-induced populations.
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